class_docstr: A dummy gym.spaces.Box environment.
  
  Args:
      random (bool): If observations are randomly generated or not.
      obs_dim (iterable): Observation space dimension.
      action_dim (iterable): Action space dimension.
docstr: Return an action space.
  
  Returns:
      gym.spaces: The action space of the environment.
docstr_tok: ["Return","an","action","space",".","Returns",":","gym.spaces",":","The","action","space","of","the","environment","."]
code: def action_space(self):
      """Return an action space.
  
      Returns:
          gym.spaces: The action space of the environment.
  
      """
      return akro.Box(
          low=-5.0, high=5.0, shape=self._action_dim, dtype=np.float32
      )
  
file_path: garage/tests/fixtures/envs/dummy/dummy_box_env.py
imports: import akro
  import numpy
  from tests.fixtures.envs.dummy import DummyEnv
label_desc: Use image node_id 3 for calling the DummyBoxEnv obj's underlying member method code with example usage: obj.action_space() and returns: akro